Disrupted fine-scale population processes in fragmented landscapes despite large-scale genetic connectivity for a widespread and common cooperative breeder: the superb fairy-wren (Malurus cyaneus)
Article first published online: 28 NOV 2012
© 2012 The Authors. Journal of Animal Ecology © 2012 British Ecological Society
Journal of Animal Ecology
Volume 82, Issue 2, pages 322–333, March 2013
How to Cite
Harrisson, K. A., Pavlova, A., Amos, J. N., Takeuchi, N., Lill, A., Radford, J. Q., Sunnucks, P. (2013), Disrupted fine-scale population processes in fragmented landscapes despite large-scale genetic connectivity for a widespread and common cooperative breeder: the superb fairy-wren (Malurus cyaneus). Journal of Animal Ecology, 82: 322–333. doi: 10.1111/1365-2656.12007
- Issue published online: 18 FEB 2013
- Article first published online: 28 NOV 2012
- Manuscript Accepted: 9 SEP 2012
- Manuscript Received: 30 OCT 2011
- Australian Research Council Linkage. Grant Number: LP0776322
- Victorian Department of Sustainability and Environment (DSE)
- Museum of Victoria
- Victorian Department of Primary Industries
- Parks Victoria
- North Central Catchment Management Authority
- Goulburn Broken Catchment Management Authority
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Data S1. Materials and methods.
Fig. S1. TESS analysis: DIC values are plotted against K values (maximum number of clusters).
Fig. S2. TESS plot for K = 5.
Table S1. Primer source information including sequence, species and appropriate reference for the 11 microsatellite loci and the Exon-Primed-Intron-Crossing (EPIC) region used in this study.
Table S2. Superb fairy-wren loci information.
Table S3. Details of potential offspring identified based on CERVUS analysis and removed from data analyses.
Table S4. Significant parent-offspring pairs (unshaded) and triads (shaded) identified using CERVUS parentage analysis.
Table S5. Pairwise FST, RST and ρ RST comparisons for geographical clusters identified in TESS analysis.
Table S6. BayesAss estimates of non-equilibrium migration rates (mean and 95% confidence interval of proportion of migrated individuals, CI) among four geographic regions (defined according to TESS results); proportions of non-migrants (resident individuals) are on the diagonal.
Table S7. Sample code (ID), age (A = adult, I = immature, U = unknown), sex (M = male, F = female), sample site (Site), proportion of woody-vegetation cover within a 500 m radius of the site centroid (PropVeg500 m), the value associated with the probability of an individual's sampling site being its place of birth [−log(L_home)] and the associated P value for 16 potential identified first-generation migrants identified using GENECLASS.
Table S8. Pairwise distance matrices for: Dest upper diagonal and FST lower diagonal.
Table S9. Single-class (T2) test criteria (lower diagonal) and associated P values (upper diagonal) for comparisons among spatial correlograms for female superb fairy-wrens in low-cover fragmented (< 20% tree-cover), high-cover fragmented (25–45% tree-cover) and reference (continuous tree-cover, > 70%) landscapes for each distance class.
Table S10. Single-class (T2) test criteria (lower diagonal) and associated P values (upper diagonal) for comparisons among spatial correlograms for male superb fairy-wrens in low-cover fragmented (< 20% tree-cover), high-cover fragmented (25–45% tree-cover) and reference (continuous tree-cover, > 70%) landscapes for each distance class.
Table S11. Number of pairwise comparisons (No. per distance class) for each distance class (km) in spatial autocorrelation analyses for males and females in low-cover fragmented (< 20%), high-cover fragmented (25–45%) and reference (continuous-cover, > 70%).
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